{"id":"W1594465257","doi":"10.18438/b8np42","title":"Reference Librarians use Electronic Sources Six Times More than Print Sources to Answer Patrons’ Questions","year":2006,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Desk; Reference desk; Library science; Test (biology); Service (business); Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009096841,0.000464192,0.0006757762,0.01540527,0.002756303,0.006144259,0.0008658903,0.001340301,0.02628624],"category_scores_gemma":[0.05690712,0.0005837412,0.0007501188,0.02033587,0.001458796,0.006005292,0.003940328,0.0008129869,0.01251274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894709,"about_ca_system_score_gemma":0.002309166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005499423,"about_ca_topic_score_gemma":0.01727759,"domain_scores_codex":[0.9819624,0.006758512,0.002377981,0.001432174,0.006645322,0.0008237063],"domain_scores_gemma":[0.9274241,0.03998642,0.01129748,0.003945604,0.01581874,0.001527646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002491344,0.0003377638,0.139853,0.003030444,0.0002159566,0.0007156364,0.0446072,0.00008467853,0.002809509,0.003926433,0.06603661,0.7381336],"study_design_scores_gemma":[0.00007384239,0.0004139143,0.2325299,0.003229101,0.0002894689,0.002444835,0.04557543,0.0002084528,0.004150873,0.00256411,0.7083728,0.000147227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6346799,0.08945816,0.01509633,0.03426097,0.002055644,0.0007656846,0.005641482,0.001479881,0.216562],"genre_scores_gemma":[0.7901567,0.04814905,0.02001758,0.02199847,0.001729532,0.0006445829,0.004715364,0.0009475049,0.1116414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9938557,"threshold_uncertainty_score":0.08793622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191497504506143,"score_gpt":0.2218920817583434,"score_spread":0.209977106713282,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}